Automatic Data Processing (ADP) Price to Sales (2009 - 2026)
Automatic Data Processing's (ADP) quarterly Price to Sales came in at 16.28 in Q2 2026, down 33.25% year-over-year from 24.38 in Q2 2025, and up 18.76% quarter-over-quarter from 13.7 in Q1 2026.
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Analysis
Automatic Data Processing (ADP) Price to Sales (2009 - 2026) Analysis & Trends
Automatic Data Processing (ADP) has reported Price to Sales for 18 consecutive years, with 16.28 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Sales fell 33.25% year-over-year to 16.28 in Q2 2026; TTM through Jun 2026 was 4.06, a 33.23% decrease from a year earlier, with the FY2026 full-year figure at 4.06, down 33.23% from the prior year.
- Price to Sales was 16.28 for Q2 2026 at Automatic Data Processing, up from 13.7 in the prior quarter.
- Over five years, Price to Sales peaked at 24.38 in Q2 2025 and troughed at 13.7 in Q1 2026.
- A 5-year average of 20.79 and a median of 21.13 in 2022 frame the typical range for Price to Sales.
- Across the five-year window, Price to Sales advanced 19.35% in 2025 and plunged 38.7% in 2026, its largest moves.
- Over 5 years, Price to Sales stood at 22.54 in 2022, then slipped by 9.07% to 20.5 in 2023, then rose by 15.11% to 23.59 in 2024, then retreated by 18.02% to 19.34 in 2025, then dropped by 15.86% to 16.28 in 2026.
- The last three Price to Sales figures came in at 16.28 (Q2 2026), 13.7 (Q1 2026), and 19.34 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.06 |
| Mar 31, 2026 | 3.77 |
| Dec 31, 2025 | 4.89 |
| Sep 30, 2025 | 5.69 |
| Jun 30, 2025 | 6.08 |
| Mar 31, 2025 | 6.14 |
| Dec 31, 2024 | 5.98 |
| Sep 30, 2024 | 5.78 |
| Jun 30, 2024 | 5.07 |
| Mar 31, 2024 | 5.41 |
| Dec 31, 2023 | 5.15 |
| Sep 30, 2023 | 5.41 |
| Jun 30, 2023 | 5.03 |
| Mar 31, 2023 | 5.21 |
| Dec 31, 2022 | 5.74 |
| Sep 30, 2022 | 5.56 |
| Jun 30, 2022 | 5.30 |
| Mar 31, 2022 | 5.91 |
| Dec 31, 2021 | 6.60 |
| Sep 30, 2021 | 5.49 |
API Access
Automatic Data Processing Price to Sales API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-sales&ticker=ADP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "ADP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-sales&ticker=ADP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();